title: Identification of cancer gene fusions based on advanced analysis of the human genome or transcriptome.
abstract: Many gene fusions have been recognized as important diagnostic and/or prognostic markers in human malignancies. In recent years, novel gene fusions have been identified in cases without prior knowledge of the genetic background. Accompanied by a powerful computational data analysis method, new genome-wide screening approaches were used to detect cryptic genomic aberrations. This review focused on advanced genomewide screening approaches in fusion gene identification, such as microarray-based approaches, next-generation sequencing, and NanoString nCounter gene expression system. The fundamental rationale and strategy for fusion gene identification using each biotech platform are also discussed.
authors.affiliation: Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA. wangL1@mskcc.org
authors.forename: Lu
authors.initials: L
authors.lastname: Wang
mesh_terms: D004252:DNA Mutational Analysis; D050939:Gene Fusion; D015894:Genome, Human; D006801:Humans; D009369:Neoplasms / Q000235:genetics*; D050596:Oncogene Fusion; D011379:Prognosis; D059467:Transcriptome